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Code release #1
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Amazing! Looking forward to it! |
@andresprados any updates? |
@andresprados is there a change in plan of code release? |
Sorry for the delay, we hope to have it ready before the start of the conference (21/11/2022). |
Thanks a lot for the update :) |
How can I run the inference code? |
Hello, thank you for the amazing work. When will the training code be released? And how can I run the inference code? I tried but wasn't able to. The code doesn't seem complete. I tried running framework.py, config.py and pretreatment.py in the inference folder, but it didn't work. |
Hi, the demo with an inference example is expected to be released next week (01/02/2023). In the meantime, the readme shows how to generate results from different datasets in the evaluation section. |
@andresprados Hello, does the 3d pose estimated also sota compare with previously methods? How's the accuracy and speed tradeoff? Can it in realtime on CPU? |
Inference framework and image colab demo are already released!
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Hi, @andresprados Thank you for sharing your wonderful project. I have noticed that the training code has not yet been released, and I was wondering if you could kindly let me know when it is scheduled to be made available. I am very keen to explore and experiment with SPIGA, and having access to the training code would be helpful. Thank you. |
Hi @Sparno1179, thank you for the support. At the moment, the training code is integrated into a larger framework supported by our lab. I believe that in the next 2-3 months I should be able to create a simple training process for SPIGA. In the meantime, check out the paper supplementary, a detailed explanation of the training process as well as the hyperparameters used can be found there. Also take a look at the dataloaders in the repository, we have included all the data augmentors used as well as the configuration set during the training. Best, |
Hi @andresprados, thank you for your amazing work! Do you have any updates on the code release for training? Or maybe you can post the training process as it currently is? |
Hi @andresprados, thank you for your excellent work, I am very interested in this. |
Code release will be available within the next two weeks, we expect to release the inference and the realtime demo before November and the training source before December.
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